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Lossless compression and coding for audio signals

Konstantas Christos

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Year 2022
Type of Item Diploma Work
Bibliographic Citation Christos Konstantas, "Lossless compression and coding for audio signals", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2022
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This thesis is on lossless audio compression and coding that is very important for studio applications, such as digital audio signal processing, and is prefered by many artists around the world. We study and present an implementation of the IEEE 1857.2 standard and explicitly its lossless audio coding extension, that typically implements a very similar process of compression and coding forthe audio signal with many other famous lossless audio compression standards (FLAC , MPEG-4 ALS ,etc). Many of these techniques, are being used on medical applications too, where the preservation of the original information of the source is extremely important. Last but not least, similar processes are being used for compressing losslessly optical satellite images. Another discussion is that in order to have a greater rate of transmission and reduce bandwidth in a communication system, lossless compression of the source is crucial. In the thesis, we present in detail the theoretic foundation of the linear predictive model, Arithmetic, Golomb-Rice, and exponential Golomb coding, and IEEE-1857.2 defined pre- and post-processing techniques. We implement all above techniques and illustrate by compressing and coding some input uncompressed (raw) CD quality audio files (.wav files), achieving minimization of the number of bits while maintainingquality.

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